Recent advances and trends in predictive manufacturing systems in big data environment

By Jay H. Lee, Edzel Lapira, B. Bagheri, Hung-An Kao. 2013

1,001 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks (2020, neutral): “problem [1]–[3].”
Implementing Smart Factory of Industrie 4.0: An Outlook (2016, background): “The big data provides real-time, complete, and effective information on every aspect of the smart factory [25, 26].”
Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges (2017, background): “In the Industrial Internet, due to its own properties, the industrial big data has another 2Vs characters [79]: (1) Visibility: Through big data analysis, invisible information can be uncovered and data can be visualized; (2) Value: Information gained by the big data analysis should be valuable.”
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0 (2020, methodology): “The datasets collected can also be applied to develop more efficient methodologies for the intelligent preventive maintenance activities, similarly known as PdM [7].”
Smart manufacturing: Past research, present findings, and future directions (2016, neutral): “48 The results were applied to industrial robots and virtual batteries.”